About Centipod

We help organisations use modern technology in a way that improves decisions and services, while protecting people and building long-term capability.

Centipod exists to help organisations use modern technology in a way that improves decisions and services, while protecting people and building long-term capability. We do not see AI as a shortcut. We see it as a powerful tool that only becomes valuable when paired with strong engineering, governance, and a human-first approach.

Our work blends advisory and delivery. We help leaders set direction and make confident choices, and we help delivery teams build the foundations that make progress repeatable. That includes cloud and platform modernisation, data and integration, and applied machine learning with the monitoring and controls needed for real operations.

We work especially well in public sector and regulated environments where reliability, privacy, and accountability are part of the job. Our experience includes building Data and AI capability in government, defining integration and IAM guardrails in complex organisations, and leading production ML work in financial services, including transaction classification and anomaly detection with governance and drift monitoring.

Centipod is based in the Netherlands and South Africa and supports clients internationally. We work with heart and empathy because transformation is ultimately a people challenge. Our job is to create clarity, reduce risk, and help teams adopt new ways of working with confidence.

From the team at Centipod

NativeWork™ — our standard for AI-native Enterprise Architecture

NativeWork is a paradigm we created and maintain, putting work — not applications — at the centre of how organisations are designed. It is becoming the flagship of how we help clients move towards Continuous Enterprise Evolution: an operating model where work can shift between people, software, and autonomous agents without redefining the organisation itself.

Explore NativeWork→

Our approach

We combine hands-on engineering with senior advisory support. That means you get clarity on what to do next, and delivery that holds up in real operations, not just in demos.

Who we serve

Public sector and regulated organisations where reliability, governance, and trust matter. We understand the constraints and expectations of environments where decisions have consequences.

Sustainable engineering

We treat sustainability as a practical engineering discipline. Lean architectures, right-sized infrastructure, and data minimisation reduce waste and cost. We favour doing less, doing it efficiently, and avoiding repeated rework.

Human-first delivery

Trust and adoption are primary success criteria. We design for real-world constraints, build capability transfer into delivery, and ensure local teams can operate solutions without specialist dependency.

Responsible AI and data use

We use AI only where it supports defined outcomes with legitimate, proportionate data use. Decision-making remains accountable through documentation, traceability, and human oversight where necessary to protect users.

Global stewardship

We deliver solutions that remain sustainable after the initial project. Reduced lock-in, proven building blocks, and well-documented deployments ensure reliability and maintainability aligned to public value over time.

Experience in practice

Selected examples from our published engagement snapshots. Client organisations are not named.

National Government

AI and Data Competence Centre setup

Supported a national ministry in establishing a Data and AI competence centre from the ground up. Work covered the organisational model, governance frameworks, AI project intake and prioritisation, and board-level reporting on portfolio progress.

Public Sector Regulator

Integration and identity architecture in a national regulator

Produced architecture standards for system integration and identity management across a national regulatory authority. Supported the adoption of an API platform and led vendor selection and market consultation processes.

Global Supply Chain Standards

Data quality strategy and ML for a global standards body

Led data quality strategy and ML model development for an international standards organisation. Delivered a cloud-based quality dashboard, a global validation rules engine, and chaired an international member working group on data quality practices.

Partnerships

  • IBM Partner Plus

    Centipod B.V. is a Registered Service Partner in IBM Partner Plus.

IBM and IBM Partner Plus are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide.

Let's work together

If you're considering AI, data, or cloud modernisation, we can help you clarify what is feasible, what is safe, and what will create measurable value.

Get in touch

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